Glossary

Review & Feedback Analysis

In one line: Review and feedback analysis uses AI to read every customer review across platforms — Google, GrabFood, Foodpanda, and more — and surface what’s recurring, so nothing slips by.

What it does

Instead of a manager skimming a handful of reviews when they remember to, AI reads all of them — continuously, across every platform you’re listed on. It groups feedback into themes (slow service, a dish that’s drawing complaints, staff who get named repeatedly for good reasons) and tells you what’s trending up or down over time.

Why it matters

Reviews shape your reputation whether or not you read them. A recurring complaint you catch in week one is a fixable operational issue; the same complaint caught in month three is a pattern that’s already cost you customers. Automated analysis turns scattered feedback into an early-warning system — and surfaces what people love, so you can do more of it.

What to watch for

The value is in the aggregation and trend-spotting, not any single review. Make sure whatever tool you use covers all the platforms your customers actually use, and that it distinguishes a one-off gripe from a genuine recurring theme.

Related terms

Sentiment Analysis, Menu Engineering